{"title":"图像处理专家系统——基于知识的图像分析过程组成","authors":"T. Matsuyama","doi":"10.1109/ICPR.1988.28187","DOIUrl":null,"url":null,"abstract":"Expert systems for image processing are classified into four categories, and their objectives, knowledge representation, reasoning methods, and shortcomings are discussed. The categories are: (1) consultation systems for image processing; (2) knowledge-based program composition systems; (3) rule-based design systems for image segmentation algorithms; and (4) goal-directed image segmentation systems. The importance of choosing effective image analysis strategies is discussed. Two methods are proposed for characterizing image analysis strategies: one from a software engineering viewpoint and the other from a knowledge representation viewpoint. Several examples are given to demonstrate the effectiveness of these methods.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"47 48","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Expert systems for image processing-knowledge-based composition of image analysis processes\",\"authors\":\"T. Matsuyama\",\"doi\":\"10.1109/ICPR.1988.28187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expert systems for image processing are classified into four categories, and their objectives, knowledge representation, reasoning methods, and shortcomings are discussed. The categories are: (1) consultation systems for image processing; (2) knowledge-based program composition systems; (3) rule-based design systems for image segmentation algorithms; and (4) goal-directed image segmentation systems. The importance of choosing effective image analysis strategies is discussed. Two methods are proposed for characterizing image analysis strategies: one from a software engineering viewpoint and the other from a knowledge representation viewpoint. Several examples are given to demonstrate the effectiveness of these methods.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"47 48\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Expert systems for image processing-knowledge-based composition of image analysis processes
Expert systems for image processing are classified into four categories, and their objectives, knowledge representation, reasoning methods, and shortcomings are discussed. The categories are: (1) consultation systems for image processing; (2) knowledge-based program composition systems; (3) rule-based design systems for image segmentation algorithms; and (4) goal-directed image segmentation systems. The importance of choosing effective image analysis strategies is discussed. Two methods are proposed for characterizing image analysis strategies: one from a software engineering viewpoint and the other from a knowledge representation viewpoint. Several examples are given to demonstrate the effectiveness of these methods.<>
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